Conferences

• Junqi Zhang, Shaoyin Cheng, Linqing Hu, Jie Zhang, Chengyu Shi, Xingshuo Han, Tianwei Zhang, Yueqiang Cheng, Weiming Zhang, The Ghost Navigator: Revisiting the Hidden Vulnerability of Localization in Autonomous Driving, USENIX Security Symposium, August, 2025
  
• Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang, Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models, IEEE Symposium on Security and Privacy (S&P), May, 2025
  
• Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang, THEMIS: Regulating Textual Inversion for Personalized Concept Censorship, Network and Distributed System Security Symposium (NDSS), February, 2025
  
• Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang, ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users, Neural Information Processing Systems (NeurIPS), December, 2024
  
• Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang, Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation, Neural Information Processing Systems (NeurIPS), December, 2024
  
• Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang, State Chrono Representation for Enhancing Generalization in Reinforcement Learning, Neural Information Processing Systems (NeurIPS), December, 2024
  
• Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li, COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation, Neural Information Processing Systems (NeurIPS), December, 2024
  
• Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang, TorchGT: A Holistic System for Large-scale Graph Transformer Training, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), November, 2024
  
• Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, Su Yao, Ke Xu, Wei Xu, Han Qiu, Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias, Conference on Empirical Methods in Natural Language Processing (EMNLP), November, 2024
  
• Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Yan Liu, Tianwei Zhang, Wei Xu, Han Qiu, Course-Correction: Safety Alignment Using Synthetic Preferences, Conference on Empirical Methods in Natural Language Processing (EMNLP) Industry Track, November, 2024
  
• Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang, VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice, ACM Conference on Computer and Communications Security (CCS), October, 2024
  
• Yuan Xu, Gelei Deng, Xingshuo Han, Guanlin Li, Han Qiu, Tianwei Zhang, PhyScout: Detecting Sensor Spoofing Attacks via Spatio-temporal Consistency, ACM Conference on Computer and Communications Security (CCS), October, 2024
  
• Kunsheng Tang, Wenbo Zhou, Jie Zhang, Aishan Liu, Gelei Deng, Shuai Li, Peigui Qi, Weiming Zhang, Tianwei Zhang, Nenghai Yu, GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models, ACM Conference on Computer and Communications Security (CCS), Distinguished Artifact Award, October, 2024
  
• Hao Wang, Shangwei Guo, Jialing He, Kangjie Chen, Shudong Zhang, Tianwei Zhang, Tao Xiang, EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second, ACM International Conference on Multimedia (MM), October, 2024
  
• Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang, Nenghai Yu, Model X-ray: Detecting Backdoored Models via Decision Boundary, ACM International Conference on Multimedia (MM), October, 2024
  
• Terence Wen Zheng Ng, Jianda Chen, Tianwei Zhang, Off-dynamics Conditional Diffusion Planners, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October, 2024
  
• Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang, Robust-Wide: Robust Watermarking against Instruction-driven Image Editing, European Conference on Computer Vision (ECCV), September, 2024
  
• Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He, Backdoor Attacks with Input-unique Triggers in NLP, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), September, 2024
  
• Xiaobei Yan, Han Qiu, Tianwei Zhang, A Unified Hardware-based Threat Detector for AI Accelerators, International Conference on Field-Programmable Logic and Applications (FPL), Stamatis Vassiliadis Best Paper Award Nominee, September, 2024
  
• Gelei Deng, Yi Liu, Víctor Mayoral-Vilches, Peng Liu, Yuekang Li, Yuan Xu, Tianwei Zhang, Yang Liu, Martin Pinzger, Stefan Rass, PentestGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing, USENIX Security Symposium, Distinguished Artifact Award, August, 2024
  
• Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang, Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval, USENIX Security Symposium, August, 2024
  
• Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang, Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning, USENIX Security Symposium, August, 2024
  
• Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang, FedNLR: Federated Learning with Neuron-wise Learning Rates, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August, 2024
  
• Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu, The Earth is Flat because...: Investigating LLMs's Belief towards Misinformation via Persuasive Conversation, Annual Meeting of the Association for Computational Linguistics (ACL), Outstanding Paper Award, August, 2024
  
• Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu, AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA, International Conference on Machine Learning (ICML), July, 2024
  
• Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang, Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation, International Conference on Machine Learning (ICML), July, 2024
  
• Guanlin Li, Guowen Xu, Han Qiu, Shangwei Guo, Run Wang, Jiwei Li, Tianwei Zhang, Rongxing Lu, Fingerprinting Image-to-Image Generative Adversarial Networks, IEEE European Symposium on Security and Privacy (Euro S&P), July, 2024
  
• Xiang Zhou, Xi Xiao, Qing Li, Bin Zhang, Guangwu Hu, Xiapu Luo, Tianwei Zhang, CapsuleFormer: A Capsule and Transformer Combined Model for Decentralized Application Encrypted Traffic Classification, ACM ASIA Conference on Computer and Communications Security (AsiaCCS), July, 2024
  
• Rui Mao, Tianwei Zhang, Qian Liu, Amir Hussain, Erik Cambria, Unveiling Diplomatic Narratives: Analyzing United Nations Security Council Debates Through Metaphorical Cognition, Annual Meeting of the Cognitive Science Society (CogSci), July, 2024
  
• Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun, Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training, IEEE/ACM International Symposium on Quality of Service (IWQoS), June, 2024
  
• Wei Gao, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang, Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters, ACM International Conference on Supercomputing (ICS), June, 2024
  
• Wei Gao, Xu Zhang, Shan Huang, Shangwei Guo, Peng Sun, Yonggang Wen, Tianwei Zhang, AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads, ACM International Conference on Supercomputing (ICS), June, 2024
  
• Xiaoxuan Lou, Kangjie Chen, Guowen Xu, Han Qiu, Shangwei Guo, Tianwei Zhang, Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June, 2024
  
• Qingjie Zhang, Lijun Chi, Di Wang, Mounira Msahli, Gerard Memmi, Tianwei Zhang, Chao Zhang, Han Qiu, Laser Shield: a Physical Defense with Polarizer against Laser Attacks on Autonomous Driving Systems, ACM Design Automation Conference (DAC), June, 2024
  
• Xingshuo Han, Yutong Wu, Qingjie Zhang, Yuan Zhou, Yuan Xu, Han Qiu, Guowen Xu, Tianwei Zhang, Backdooring Multimodal Learning, IEEE Symposium on Security and Privacy (S&P), May, 2024
  
• Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang, FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices, The Web Conference (WWW), May, 2024
  
• Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang, Sylvie: 3D-adaptive and Universal System for Large-scale Graph Neural Network Training, IEEE International Conference on Data Engineering (ICDE), May, 2024
  
• Yutong Wu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang, You Only Query Once: An Efficient Label-Only Membership Inference Attack, International Conference on Learning Representations (ICLR), May, 2024
  
• Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang, FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation, International Conference on Learning Representations (ICLR), May, 2024
  
• Yanzhou Li, Kangjie Chen, Tianlin Li, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu, BadEdit: Backdooring Large Language Models by Model Editing, International Conference on Learning Representations (ICLR), May, 2024
  
• Xinyuan Qian, Hongwei Li, Guowen Xu, Haoyong Wang, Tianwei Zhang, Xianhao Chen, Yuguang Fang, Privacy-Preserving Data Evaluation via Functional Encryption, Revisited, IEEE International Conference on Computer Communications (INFOCOM), May, 2024
  
• Terence Wen Zheng Ng, Jianda Chen, Sinno Jialin Pan, Tianwei Zhang, Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners, IEEE International Conference on Robotics and Automation (ICRA), May, 2024
  
• Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang, Characterization of Large Language Model Development in the Datacenter, USENIX Symposium on Networked Systems Design and Implementation (NSDI), April, 2024
  
• Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, Yang Liu, MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots, Network and Distributed System Security Symposium (NDSS), February, 2024
  
• Chang Liu, Jie Zhang, Tianwei Zhang, Xi Yang, Weiming Zhang, Nenghai Yu, Detecting Voice Cloning Attacks via Timbre Watermarking, Network and Distributed System Security Symposium (NDSS), February, 2024
  
• Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen, SAME: Sample Reconstruction Against Model Extraction Attacks, AAAI Conference on Artificial Intelligence (AAAI), February, 2024
  
• Hui En Pang, Zhongang Cai, Lei Yang, Qingyi Tao, Zhonghua Wu, Tianwei Zhang, Ziwei Liu, Towards Robust and Expressive Whole-body Human Pose and Shape Estimation, Neural Information Processing Systems (NeurIPS), December, 2023
  
• Xiaobei Yan, Xiaoxuan Lou, Guowen Xu, Han Qiu, Shangwei Guo, Chip Hong Chang, Tianwei Zhang, Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator, IEEE International Conference on Field-Programmable Technology (FPT), December, 2023
  
• Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang, Text Classification via Large Language Models, Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP), December, 2023
  
• Qingjie Zhang, Maosen Zhang, Han Qiu, Tianwei Zhang, Mounira Msahli, Gerard Memmi, ATTA: Adversarial Task-transferable Attacks on Autonomous Driving Systems, IEEE International Conference on Data Mining (ICDM), December, 2023
  
• Yutong Wu, Xingshuo Han, Han Qiu, Tianwei Zhang, Computation and Data Efficient Backdoor Attacks, IEEE International Conference on Computer Vision (ICCV), October, 2023
  
• Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia, One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training, IEEE International Conference on Computer Vision (ICCV), October, 2023
  
• Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan, Deep Multitask Learning with Progressive Parameter Sharing, IEEE International Conference on Computer Vision (ICCV), Oral, October, 2023
  
• Gelei Deng, Zhiyi Zhang, Yuekang Li, Yi Liu, Tianwei Zhang, Yang Liu, Guo Yu, Dongjin Wang, NAUTILUS: Automated RESTful API Vulnerability Detection, USENIX Security Symposium, August, 2023
  
• Jialai Wang, Ziyuan Zhang, Meiqi Wang, Han Qiu, Tianwei Zhang, Qi Li, Zongpeng Li, Tao Wei, Chao Zhang, Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks, USENIX Security Symposium, August, 2023
  
• Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang, Hydro: Surrogate-based Hyperparameter Tuning Service in Datacenters, USENIX Symposium on Operating Systems Design and Implementation (OSDI), July, 2023
  
• Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang, GuardHFL: Privacy Guardian for Heterogeneous Federated Learning, International Conference on Machine Learning (ICML), July, 2023
  
• Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu, Multi-target Backdoor Attacks for Code Pre-trained Models, Annual Meeting of the Association for Computational Linguistics (ACL), July, 2023
  
• Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang, GNN-SL: Sequence Labeling Based on Nearest Examples via GNN, Findings of the Association for Computational Linguistics (ACL), July, 2023
  
• Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang, SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View, IEEE European Symposium on Security and Privacy (Euro S&P), July, 2023
  
• Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang, Color Backdoor: A Robust Poisoning Attack in Color Space, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June, 2023
  
• Tian Dong, Ziyuan Zhang, Han Qiu, Tianwei Zhang, Hewu Li, Terry Wang, Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing, IEEE International Conference on Computer Communications (INFOCOM), May, 2023
  
• Hao Ren, Guowen Xu, Han Qiu, Tianwei Zhang, PriFR: Privacy-preserving Large-scale File Retrieval System via Blockchain for Encrypted Cloud Data, IEEE International Conference on Big Data Security on Cloud (BigDataSecurity), Best Paper Award, May, 2023
  
• Kangjie Chen, Xiaoxuan Lou, Guowen Xu, Jiwei Li, Tianwei Zhang, Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only, International Conference on Learning Representations (ICLR), Notable-top-5%, May, 2023
  
• Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang, Extracting Robust Models with Uncertain Examples, International Conference on Learning Representations (ICLR), May, 2023
  
• Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang, Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs, ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Distinguished Paper Award, March, 2023
  
• Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang, Defending Against Backdoor Attacks in Natural Language Generation, AAAI Conference on Artificial Intelligence (AAAI), February, 2023
  
• Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang, Iron: Private Inference on Transformers, Neural Information Processing Systems (NeurIPS), December, 2022
  
• Hui En Pang, Zhongang Cai, Lei Yang, Tianwei Zhang, Ziwei Liu, Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms, Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmark, December, 2022
  
• Ke Jiang, Yuyan Bao, Shuai Wang, Zhibo Liu, Tianwei Zhang, Cache Refinement Type for Side-channel Detection of Cryptographic Software, ACM Conference on Computer and Communications Security (CCS), November, 2022
  
• Gelei Deng, Guowen Xu, Yuan Zhou, Tianwei Zhang, Yang Liu, On the (In)Security of Secure ROS2, ACM Conference on Computer and Communications Security (CCS), November, 2022
  
• Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang, Titan: A Scheduler for Foundation Model Fine-tuning Workloads, ACM Symposium on Cloud Computing (SoCC), November, 2022
  
• Zehua Yang, Zhisheng Ye, Tianhao Fu, Jing Luo, Yingwei Luo, Xaiolin Wang, Zhenlin Wang, Xiong Wei, Tianwei Zhang, Tear Up the Bubble Boom: Lessons Learned From a Deep Learning Research and Development Cluster, IEEE International Conference on Computer Design (ICCD), October, 2022
  
• Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang, Improving Adversarial Robustness of 3D Point Cloud Classification Models, European Conference on Computer Vision (ECCV), October, 2022
  
• Xingshuo Han, Guowen Xu, Yuan Zhou, Xuehuan Yang, Jiwei Li, Tianwei Zhang, Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving, ACM International Conference on Multimedia (MM), October, 2022
  
• Tao Xiang, Hangcheng Liu, Shangwei Guo, Hantao Liu, Tianwei Zhang, Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks, ACM International Conference on Multimedia (MM), October, 2022
  
• Ke Jiang, Tianwei Zhang, David Sanan, Yongwang Zhao, Yang Liu, A Formal Methodology for Verifying Side-Channel Vulnerabilities in Cache Architectures, International Conference on Formal Engineering Methods (ICFEM), October, 2022
  
• Yutong Wu, Han Qiu, Tianwei Zhang, Jiwei Li, Meikang Qiu, Watermarking Pre-trained Encoders in Contrastive Learning, International Conference on Data Intelligence and Security (ICDIS), Best Paper Award, August, 2022
  
• Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang, Primo: Practical Learning-Augmented Systems with Interpretable Models, USENIX Annual Technical Conference (ATC), July, 2022
  
• Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Shangwei Guo, Chun Fan, Triggerless Backdoor Attack for NLP Tasks with Clean Labels, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), July, 2022
  
• Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li, Fast Nearest Neighbor Machine Translation, Findings of the Association for Computational Linguistics Findings (ACL), May, 2022
  
• Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang, NASPY: Automated Extraction of Automated Machine Learning Models, International Conference on Learning Representations (ICLR), Spotlight, April, 2022
  
• Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li, GNN-LM: Language Modeling based on Global Contexts via GNN, International Conference on Learning Representations (ICLR), Spotlight, April, 2022
  
• Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan, BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models, International Conference on Learning Representations (ICLR), April, 2022
  
• Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang, Efficient, Private and Robust Federated Learning, ACM Annual Computer Security Applications Conference (ACSAC), December, 2021
  
• Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang, kFolden: k-Fold Ensemble for Out-Of-Distribution Detection, Conference on Empirical Methods in Natural Language Processing (EMNLP), November, 2021
  
• Wei Gao, Zhisheng Ye, Peng Sun, Yonggang Wen, Tianwei Zhang, CHRONUS: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs, ACM Symposium on Cloud Computing (SoCC), November, 2021
  
• Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang, Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), November, 2021
  
• Yun Tang, Yuan Zhou, Tianwei Zhang, Fenghua Wu, Yang Liu, Gang Wang, Systematic Testing of Autonomous Driving Systems Using Map Topology-Based Scenario Classification, IEEE/ACM International Conference on Automated Software Engineering New Ideas and Emerging Results (ASE-NIER), November, 2021
  
• Yuan Xu, Tianwei Zhang, Yungang Bao, Analysis and Mitigation of Function Interaction Risks in Robot Apps, International Symposium on Research in Attacks, Intrusions and Defenses (RAID), October, 2021
  
• Gelei Deng, Yuan Zhou, Yuan Xu, Tianwei Zhang, Yang Liu, An Investigation of Byzantine Threats in Multi-Robot Systems, International Symposium on Research in Attacks, Intrusions and Defenses (RAID), October, 2021
  
• Xingshuo Han, Kangjie Chen, Yuan Zhou, Meikang Qiu, Chun Fan, Yang Liu, Tianwei Zhang, A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Most Innovative Paper Award, October, 2021
  
• Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu, Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models, International Joint Conference on Artificial Intelligence (IJCAI), August, 2021
  
• Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu, Privacy-preserving Collaborative Learning with Automatic Transformation Search, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral, June, 2021
  
• Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu, Stealing Deep Reinforcement Learning Models for Fun and Profit, ACM ASIA Conference on Computer and Communications Security (AsiaCCS), June, 2021
  
• Han Qiu, Yi Zeng, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham, DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation, ACM ASIA Conference on Computer and Communications Security (AsiaCCS), June, 2021
  
• Yuan Xu, Tianwei Zhang, Jimin Han, Sa Wang, Yungang Bao, Towards Practical Cloud Offloading for Low-cost Ground Vehicle Workloads, IEEE International Parallel & Distributed Processing Symposium (IPDPS), May, 2021
  
• Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, Yang Liu, Temporal Watermarks for Deep Reinforcement Learning Models, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May, 2021
  
• Qinkai Zheng, Han Qiu, Tianwei Zhang, Gerard Memmi, Meikang Qiu, Jialiang Lu, Resisting Adversarial Examples via Wavelet Extension and Denoising, International Conference on Smart Computing and Communication (SmartCom), December, 2020
  
• Yuan Xu, Tianwei Zhang, Sa Wang, Yungang Bao, A Software Stack for Composable Cloud Robotics System, International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), October, 2020
  
• Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu, Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning, AAAI Conference on Artificial Intelligence (AAAI), February, 2020
  
• Zecheng He, Tianwei Zhang, Ruby B. Lee, Model Inversion Attacks Against Collaborative Inference, ACM Annual Computer Security Applications Conference (ACSAC), December, 2019
  
• Zecheng He, Tianwei Zhang, Ruby B. Lee, Sensitive-Sample Fingerprinting of Deep Neural Networks, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June, 2019
  
• Tianwei Zhang, Yinqian Zhang, Ruby B. Lee, Analyzing Cache Side Channels Using Deep Neural Networks, ACM Annual Computer Security Applications Conference (ACSAC), December, 2018
  
• Tianwei Zhang, Yuan Xu, Yungang Bao, Ruby B. Lee, CloudShelter: Protecting Virtual Machines’ Memory Resource Availability in Clouds, IEEE International Conference on Computer Design (ICCD), November, 2017
  
• Zecheng He, Tianwei Zhang, Ruby B. Lee, Machine Learning Based DDoS Attack Detection from Source Side in Cloud, IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), June, 2017
  
• Tianwei Zhang, Yinqian Zhang, Ruby B. Lee, DoS Attacks on Your Memory in the Cloud, ACM Asia Conference on Computer and Communications Security (AsiaCCS), April, 2017
  
• Tianwei Zhang, Yinqian Zhang, Ruby B. Lee, CloudRadar: a Real-time Side-channel Detection System in Clouds, Research in Attacks, Intrusions and Defenses (RAID), September, 2016
  
• Tianwei Zhang, Ruby B. Lee, CloudMonatt: an Architecture for Security Health Monitoring and Attestation of Virtual Machines in Cloud Computing, ACM International Symposium on Computer Architecture (ISCA), June, 2015
  
• Tianwei Zhang, Ruby B. Lee, New Models of Cache Architectures Characterizing Information Leakage from Cache Side-channels, ACM Annual Computer Security Applications Conference (ACSAC), December, 2014
  
• Pramod Jamkhedkar, Jakub Szefer, Diego Perez-Botero, Tianwei Zhang, Gina Triolo, Ruby B. Lee, A Framework for Realizing Security on Demand in Cloud Computing, IEEE International Conference on Cloud Computing Technology and Science (CloudCom), December, 2013
  
• Xin Huang, Tianwei Zhang, Rusheng Wang, Changze Liu, Yuchao Liu, Ru Huang, Self-heating Effects in Gate-all-around Silicon Nanowire MOSFETs: Modeling and Analysis, IEEE International Symposium on Quality Electronic Design (ISQED), March 2012
  

Journals

• Lijun Chi, Mounira Msahli, Qingjie Zhang, Han Qiu, Tianwei Zhang, Gerard Memmi, Meikang Qiu, Adversarial Attacks on Autonomous Driving Systems in the Physical World: a Survey, Accepted by IEEE Transactions on Intelligent Vehicles
  
• Hao Ren, Guowen Xu, Tianwei Zhang, Jianting Ning, Xinyi Huang, Hongwei Li, Rongxing Lu, Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data, Accepted by IEEE Transactions on Dependable and Secure Computing
  
• Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Guowen Xu, Xilin Zhang, Tianwei Zhang, SecBNN, Efficient Secure Inference on Binary Neural Network, Accepted by IEEE Transactions on Information Forensics and Security
  
• Xiaoyuan Liu, Hongwei Li, Guowen Xu, Xilin Zhang, Tianwei Zhang, Jianying Zhou, Secure and Lightweight Feature Selection for Horizontal Federated Learning, Accepted by IEEE Transactions on Information Forensics and Security
  
• Meiqi Wang, Han Qiu, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham, Mitigating Query-based Neural Network Fingerprinting via Data Augmentation, Accepted by ACM Transactions on Sensor Networks
  
• Biwen Chen, Honghong Zeng, Tao Xiang, Shangwei Guo, Tianwei Zhang, Yang Liu, ESB-FL: Efficient and Secure Blockchain-Based Federated Learning with Fair Payment, Accepted by IEEE Transactions on Big Data
  
• Yuan Xu, Yungang Bao, Sa Wang, Tianwei Zhang, Function Interaction Risks in Robot Apps: Analysis and Policy-based Solution, IEEE Transactions on Dependable and Secure Computing, Volume: 21, Issue: 4, July 2024
  
• Guowen Xu, Xingshuo Han, Gelei Deng, Tianwei Zhang, Shengmin Xu, Jianting Ning, Anjia Yang, Hongwei Li, VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder, IEEE Transactions on Dependable and Secure Computing, Volume: 21, Issue: 4, July 2024
  
• Guowen Xu, Xingshuo Han, Tianwei Zhang, Shengmin Xu, Jianting Ning, Xinyi Huang, Hongwei Li, Robert Deng, SIMC 2.0: Improved Secure ML Inference Against Malicious Clients, IEEE Transactions on Dependable and Secure Computing, Volume: 21, Issue: 4, July 2024
  
• Wei Gao, Zhisheng Ye, Peng Sun, Tianwei Zhang, Yonggang Wen, UniSched: A Unified Scheduler for Deep Learning Training Jobs with Different User Demands, IEEE Transactions on Computers, Volume: 73, Issue: 6, June 2024
  
• Zhirui Zeng, Tao Xiang, Shangwei Guo, Jialing He, Qiao Zhang, Guowen Xu, Tianwei Zhang, Contrast-then-Approximate: Analyzing Keyword Leakage of Generative Language Models, IEEE Transactions on Information Forensics and Security, Volume: 19, April 2024
  
• Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam, Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models, IEEE Transactions on Information Forensics and Security, Volume: 19, April 2024
  
• Jianfei Sun, Junyi Tao, Hao Zhang, Yanan Zhao, Liming Nie, Xiaochun Cheng, Tianwei Zhang, A Tamper-resistant Broadcasting Scheme for Secure Communication in Internet of Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems, Volume: 25, Issue: 3, March 2024
  
• Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang, Rongxing Lu, A Comprehensive Defense Framework against Model Extraction Attacks, IEEE Transactions on Dependable and Secure Computing, Volume: 21, Issue: 2, March 2024
  
• Wenbo Jiang, Tianwei Zhang, Han Qiu, Hongwei Li, Guowen Xu, Incremental Learning, Incremental Backdoor Threats, IEEE Transactions on Dependable and Secure Computing, Volume: 21, Issue: 2, March 2024
  
• Han Qiu, Yi Zeng, Qinkai Zheng, Shangwei Guo, Tianwei Zhang, Hewu Li, An Efficient Preprocessing-based Approach to Mitigate Advanced Adversarial Attacks, IEEE Transactions on Computers, Volume: 73, Issue: 3, March 2024
  
• Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen, Deep Learning Workload Scheduling in GPU Datacenters: A Survey, ACM Computing Surveys, Volume: 56, Issue: 6, January 2024
  
• Rui Xue, Kaiping Xue, Bin Zhu, Xinyi Luo, Tianwei Zhang, Qibin Sun, Jun Lu, Differentially Private Federated Learning with an Adaptive Noise Mechanism, IEEE Transactions on Information Forensics and Security, Volume: 19, September 2023
  
• Guowen Xu, Xingshuo Han, Shengmin Xu, Tianwei Zhang, Hongwei Li, Xinyi Huang, Robert Deng, Hercules: Boosting the Performance of Privacy-preserving Federated Learning, IEEE Transactions on Dependable and Secure Computing, Volume: 20, Issue: 5, September 2023
  
• Wei Gao, Xu Zhang, Shangwei Guo, Tianwei Zhang, Tao Xiang, Han Qiu, Yonggang Wen, Yang Liu, Automatic Transformation Search Against Deep Leakage from Gradients, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 45, Issue: 9, September 2023
  
• Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao, Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding, IEEE Transactions on Information Forensics and Security, Volume: 18, August 2023
  
• Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu, Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? IEEE Transactions on Dependable and Secure Computing, Volume: 20, Issue: 4, July 2023
  
• Jianfei Sun, Guowen Xu, Tianwei Zhang, Xuehuan Yang, Mamoun Alazab, Robert Deng, Privacy-aware and Security-enhanced Efficient Matchmaking Encryption, IEEE Transactions on Information Forensics and Security, Volume: 18, July 2023
  
• Jianfei Sun, Guowen Xu, Tianwei Zhang, Xiaochun Cheng, Xingshuo Han, Mingjian Tang, Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems, IEEE Transactions on Intelligent Transportation Systems, Volume: 24, Issue: 7, July 2023
  
• Guowen Xu, Guanlin Li, Shangwei Guo, Tianwei Zhang, Hongwei Li, Secure Decentralized Image Classification with Multiparty Homomorphic Encryption, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 33, Issue: 7, July 2023
  
• Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang, Rongxing Lu, Physical Black-box Adversarial Attacks through Transformations, IEEE Transactions on Big Data, Volume: 9, Issue: 3, June 2023
  
• Zhaoxuan Wang, Yang Li, Shihao Wu, Yuan Zhou, Libin Yang, Yuan Xu, Tianwei Zhang, Quan Pan, A Survey on Cybersecurity Attacks and Defenses for Unmanned Aerial Systems, Journal of Systems Architecture, Volume: 138, May 2023
  
• Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Tianwei Zhang, FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference, IEEE Transactions on Information Forensics and Security, Volume: 18, March 2023
  
• Han Qiu, Tianwei Zhang, Tianshu Zhang, Hongyu Li, Meikang Qiu, DefQ: Defensive Quantization against Inference Slow-down Attack for Edge Computing, IEEE Internet of Things Journal, Volume: 10, Issue: 4, February, 2023
  
• Jianfei Sun, Guowen Xu, Tianwei Zhang, Hu Xiong, Hongwei Li, Robert Deng, Share Your Data Carefree: An Efficient, Scalable and Privacy-preserving Data Sharing Service in Cloud Computing, IEEE Transactions on Cloud Computing, Volume: 11, Issue: 1, January 2023
  
• Xingshuo Han, Yuan Zhou, Kangjie Chen, Han Qiu, Meikang Qiu, Yang Liu, Tianwei Zhang, ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems, IEEE Transactions on Intelligent Transportation Systems, Volume: 24, Issue: 1, January 2023
  
• Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang, PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees, IEEE Transactions on Information Forensics and Security, Volume: 18, December 2022
  
• Jianfei Sun, Guowen Xu, Tianwei Zhang, Xuehuan Yang, Mamoun Alazab, Robert Deng, Verifiable, Fair and Privacy-preserving Broadcast Authorization for Flexible Data Sharing in Clouds, IEEE Transactions on Information Forensics and Security, Volume: 18, December 2022
  
• Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Tianwei Zhang, Ownership Verification of DNN Architectures via Hardware Cache Side Channels, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 32, Issue: 11, November 2022
  
• Zhisheng Ye, Peng Sun, Wei Gao, Tianwei Zhang, Xiaolin Wang, Shengen Yan, Yingwei Luo, ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters, IEEE Transactions on Parallel and Distributed Systems, Volume: 33, Issue: 11, November 2022
  
• Wenbing Tang, Yuan Zhou, Tianwei Zhang, Yang Liu, Jing Liu, Zuohua Ding, Cooperative Collision Avoidance in Multirobot Systems Using Fuzzy Rules and Velocity Obstacles, Robotica, Volume: 41, Issue: 2, October 2022
  
• Jianfei Sun, Guowen Xu, Tianwei Zhang, Mamoun Alazab, Robert H. Deng, A Practical Fog-based Privacy-preserving Online Car-hailing Service System, IEEE Transactions on Information Forensics and Security, Volume: 17, August 2022
  
• Xiaoxuan Lou, Tianwei Zhang, Jun Jiang, Yinqian Zhang, A Survey of Microarchitectural Side-channel Vulnerabilities, Attacks and Defenses in Cryptography, ACM Computing Surveys, Volume: 54, Issue: 6, July 2022
  
• Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu, Byzantine-resilient Decentralized Stochastic Gradient Descent, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 32, Issue: 6, June 2022
  
• Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang, Yang Liu, Topology-aware Differential Privacy for Decentralized Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 32, Issue: 6, June 2022
  
• Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan, Sentence Similarity Based on Contexts, Transactions of the Association for Computational Linguistics, 10: 573–588, May 2022
  
• Yixing Luo, Yuan Zhou, Haiyan Zhao, Zhi Jin, Tianwei Zhang, Yang Liu, Danny Barthaud, Yijun Yu, Online Adaptation for Autonomous Unmanned Systems Driven by Requirements Satisfaction Model, Software and Systems Modeling, February 2022
  
• Yuan Xu, Gelei Deng, Tianwei Zhang, Han Qiu, Yungang Bao, Novel Denial-of-Service Attacks against Cloud-based Multi-Robot Systems, Information Sciences, Volume: 576, October 2021
  
• Han Qiu, Tian Dong, Tianwei Zhang, Jialiang Lu, Gerard Memmi, Meikang Qiu, Adversarial Attacks against Network Intrusion Detection in IoT Systems, IEEE Internet of Things Journal, Volume: 8, Issue: 13, July, 2021
  
• Zecheng He, Tianwei Zhang, Ruby B. Lee, Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems, IEEE Internet of Things Journal, Volume: 8, Issue: 12, June, 2021
  
• Han Qiu, Qinkai Zheng, Tianwei Zhang, Meikang Qiu, Gerard Memmi, Jialiang Lu, Towards Secure and Efficient Deep Learning Inference in Dependable IoT Systems, IEEE Internet of Things Journal, Volume: 8, Issue: 5, March, 2021
  
• Tianwei Zhang, Ruby B. Lee, Design, Implementation and Verification of Cloud Architecture for Monitoring a Virtual Machine's Security Health, IEEE Transactions on Computers, Volume: 67, Issue 6: June, 2018
  
• Tianwei Zhang, Ruby B. Lee, Monitoring and Attestation of Virtual Machine Security Health in Cloud Computing, IEEE Micro, Volume: 36, No: 5, September - October, 2016
  

Workshops

• Rabimba Karanjai, Sangwon Shin, Wujie Xiong, Xinxin Fan, Lin Chen, Tianwei Zhang, Taeweon Suh, Weidong Shi, Veronika Kuchta, Francesco Sica, Lei Xu, TPU as Cryptographic Accelerator, Workshop on Hardware and Architectural Support for Security and Privacy (HASP), November, 2024
  
• Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang, A Hitchhiker's Guide to Jailbreaking ChatGPT via Prompt Engineering, International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ), July, 2024
  
• Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, PANDORA: Jailbreak GPTs by Retrieval Augmented Generation Poisoning, Workshop on Artificial Intelligence System with Confidential Computing (AISCC), Distinguished Paper Award, February, 2024
  
• Tianwei Zhang, Jakub Szefer, Ruby B. Lee, Practical and Scalable Security Verification of Secure Architectures, Workshop on Hardware and Architectural Support for Security and Privacy (HASP), Oct, 2021
  
• Guangyuan Hu, Tianwei Zhang, Ruby B. Lee, Position Paper: Consider Hardware-enhanced Defenses for Rootkit Attacks, Workshop on Hardware and Architectural Support for Security and Privacy (HASP), Oct, 2020
  
• Tianwei Zhang, Ruby B. Lee, Host-based DoS Attacks and Defense in the Cloud, Workshop on Hardware and Architectural Support for Security and Privacy (HASP), June, 2017
  
• Tianwei Zhang, Si Chen, Fangfei Liu, Ruby B. Lee, Side Channel Vulnerability Metrics: the Promise and the Pitfalls, Workshop on Hardware and Architectural Support for Security and Privacy (HASP), June, 2013
  
• Tianwei Zhang, Jakub Szefer, Ruby B. Lee, Security Verification of Hardware-enabled Attestation Protocols, Workshop on Hardware and Architectural Support for Security and Privacy (HASP), December, 2012